Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Background: Working in a standing posture is considered to improve musculoskeletal comfort and can help enhance office workers' performance in the long term. However, there is a lack of a quantitative, real-time measure that reflects on whether office workers can immediately become more concentrated and work more efficiently when they switch to a standing posture.
Methods: To tackle this problem, this study proposed that the number of effective computer interactions could be used as a real-time indicator to measure the productivity of office workers whose work is primarily computer-based. Using this metric, we conducted an exploratory study to investigate the correlation between posture and productivity changes at a 10-minute resolution for eight participants.
Results: The study found that when allowed to use sit-stand desks to adjust postures, participants chose to switch to standing posture for about 47 min on average once a day; standing work was most frequent between 2:30 - 4:00 pm, followed by 10:30 - 11:30 am, during which time the number of computer interactions also became higher, showing a significant positive correlation. In addition, participants were approximately 6.5% more productive than when they could only work in a sitting posture.
Conclusion: This study revealed that posture changes could have an immediate improvement in productivity.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631143 | PMC |
| http://dx.doi.org/10.1186/s12889-023-17100-w | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Bacillus drives functional states in synthetic plant root bacterial communities.
Genome Biol
September 2025
Department of Biology, Plant-Microbe Interactions, Science for Life, Utrecht University, Utrecht, 3584CH, The Netherlands.
Background: Plant roots release root exudates to attract microbes that form root communities, which in turn promote plant health and growth. Root community assembly arises from millions of interactions between microbes and the plant, leading to robust and stable microbial networks. To manage the complexity of natural root microbiomes for research purposes, scientists have developed reductionist approaches using synthetic microbial inocula (SynComs).
View Article and Find Full Text PDFLearning ecosystem-scale dynamics from microbiome data with MDSINE2.
Nat Microbiol
September 2025
Division of Computational Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Although dynamical systems models are a powerful tool for analysing microbial ecosystems, challenges in learning these models from complex microbiome datasets and interpreting their outputs limit use. We introduce the Microbial Dynamical Systems Inference Engine 2 (MDSINE2), a Bayesian method that learns compact and interpretable ecosystems-scale dynamical systems models from microbiome timeseries data. Microbial dynamics are modelled as stochastic processes driven by interaction modules, or groups of microbes with similar interaction structure and responses to perturbations, and additionally, noise characteristics of data are modelled.
View Article and Find Full Text PDFBowel preparation quality and computer-aided detection of adenomas during colonoscopy.
Dig Liver Dis
September 2025
Department of Gastroenterology, Valduce Hospital, Como, Italy. Electronic address:
Objectives: Computer-aided detection (CADe) systems improve adenoma detection during colonoscopy, but the influence of bowel preparation quality on CADe performance is unclear. This study assessed whether different levels of adequate bowel preparation affect CADe effectiveness.
Methods: A post-hoc pooled analysis was conducted using individual patient data from three randomized controlled trials comparing CADe-assisted colonoscopy to standard colonoscopy (SC).
Reduced model aided fluid-structure interaction design framework for shunt systems.
Med Eng Phys
October 2025
Department of Engineering Science, University of Oxford, United Kingdom. Electronic address:
Traditionally, clinical devices are designed, tested and improved through lengthy and expensive laboratory experiments and clinical trials [1]. More recently, computational methods have allowed for rapid testing, speeding up the design process and enabling far more complete searches of design space. While computational models cannot fully capture the complexities of biological systems, they provide valuable insights into crucial underlying mechanisms, such as the effects of fluid-structure interactions (FSIs).
View Article and Find Full Text PDFPhasic alertness impairs cognitive control by amplifying competition between evidence accumulators.
J Neurosci
September 2025
Institute of Psychology, Leiden University, the Netherlands.
Although phasic alertness generally benefits cognitive performance, it often increases the impact of distracting information, resulting in impaired decision-making and cognitive control. However, it is unclear why phasic alertness has these negative effects. Here, we present a novel, biologically-informed account, according to which phasic alertness generates a transient, evidence-independent input to the decision process.
View Article and Find Full Text PDF